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dyngraph2vec: Capturing Network Dynamics using Dynamic Graph
  Representation Learning

dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning

7 September 2018
Palash Goyal
Sujit Rokka Chhetri
A. Canedo
ArXivPDFHTML

Papers citing "dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning"

34 / 34 papers shown
Title
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
Cunlai Pu
Fangrui Wu
Rajput Ramiz Sharafat
Guangzhao Dai
Xiangbo Shu
21
0
0
14 May 2025
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
Siwei Zhang
Yun Xiong
Yateng Tang
Xi Chen
Zian Jia
Zehao Gu
Jiarong Xu
Jiawei Zhang
AI4CE
80
1
0
18 Mar 2025
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
He Yu
Jiaheng Liu
41
0
0
21 Jan 2025
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers
Ashish Parmanand Pandey
Alan John Varghese
Sarang Patil
Mengjia Xu
Mamba
123
0
0
15 Dec 2024
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models
Zifeng Ding
Yifeng Li
Yuan He
Antonio Norelli
Jingcheng Wu
Volker Tresp
Yunpu Ma
Michael Bronstein
Mamba
51
3
0
08 Aug 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle
William Eberle
AI4TS
47
10
0
31 May 2024
Knowledge Graph Pruning for Recommendation
Knowledge Graph Pruning for Recommendation
Fake Lin
Xi Zhu
Ziwei Zhao
Deqiang Huang
Yu Yu
Xueying Li
Zhi Zheng
Tong Xu
Enhong Chen
34
0
0
19 May 2024
TransformerG2G: Adaptive time-stepping for learning temporal graph
  embeddings using transformers
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers
Alan John Varghese
Aniruddha Bora
Mengjia Xu
George Karniadakis
46
5
0
05 Jul 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified
  Library
Towards Better Dynamic Graph Learning: New Architecture and Unified Library
Le Yu
Leilei Sun
Bowen Du
Weifeng Lv
AI4CE
29
100
0
23 Mar 2023
Do We Really Need Complicated Model Architectures For Temporal Networks?
Do We Really Need Complicated Model Architectures For Temporal Networks?
Weilin Cong
Si Zhang
Jian Kang
Baichuan Yuan
Hao Wu
Xin Zhou
Yangqiu Song
Mehrdad Mahdavi
GNN
AI4TS
33
115
0
22 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
Nasrin Shabani
Jia Wu
Amin Beheshti
Quan.Z Sheng
Jin Foo
Venus Haghighi
Ambreen Hanif
Maryam Shahabikargar
GNN
AI4TS
45
12
0
13 Feb 2023
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global
  Interactions
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions
Anson Bastos
Abhishek Nadgeri
Kuldeep Singh
Toyotaro Suzumura
Manish Singh
45
7
0
22 Nov 2022
Towards Real-Time Temporal Graph Learning
Towards Real-Time Temporal Graph Learning
Deniz Gurevin
Mohsin Shan
Tong Geng
Weiwen Jiang
Caiwen Ding
O. Khan
AI4TS
AI4CE
45
0
0
08 Oct 2022
ROLAND: Graph Learning Framework for Dynamic Graphs
ROLAND: Graph Learning Framework for Dynamic Graphs
Jiaxuan You
Tianyu Du
J. Leskovec
AI4CE
23
166
0
15 Aug 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Han Li
Changsheng Li
Kaituo Feng
Ye Yuan
Guoren Wang
H. Zha
39
13
0
22 Jul 2022
Instant Graph Neural Networks for Dynamic Graphs
Instant Graph Neural Networks for Dynamic Graphs
Yanping Zheng
Hanzhi Wang
Zhewei Wei
Jiajun Liu
Sibo Wang
GNN
32
20
0
03 Jun 2022
A Mutually Exciting Latent Space Hawkes Process Model for
  Continuous-time Networks
A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks
Zhipeng Huang
Hadeel Soliman
Subhadeep Paul
Kevin S. Xu
24
11
0
19 May 2022
Understanding microbiome dynamics via interpretable graph representation
  learning
Understanding microbiome dynamics via interpretable graph representation learning
K. Melnyk
Kuba Weimann
Tim Conrad
28
5
0
02 Mar 2022
Graph Lifelong Learning: A Survey
Graph Lifelong Learning: A Survey
F. Febrinanto
Feng Xia
Kristen Moore
Chandra Thapa
Charu C. Aggarwal
CLL
AI4CE
44
51
0
22 Feb 2022
Simulating User-Level Twitter Activity with XGBoost and Probabilistic
  Hybrid Models
Simulating User-Level Twitter Activity with XGBoost and Probabilistic Hybrid Models
Frederick Mubang
Lawrence O. Hall
AI4TS
21
2
0
18 Feb 2022
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning
  over Temporal Knowledge Graphs
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs
Namyong Park
Fuchen Liu
Purvanshi Mehta
D. Cristofor
Christos Faloutsos
Yuxiao Dong
26
85
0
15 Feb 2022
Efficient Dynamic Graph Representation Learning at Scale
Efficient Dynamic Graph Representation Learning at Scale
Xinshi Chen
Yan Zhu
Haowen Xu
Mengya Liu
Liang Xiong
Muhan Zhang
Le Song
24
7
0
14 Dec 2021
Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction
Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction
Jinyin Chen
Haiyang Xiong
Haibin Zheng
Jian Zhang
Guodong Jiang
Yi Liu
AAML
SILM
AI4CE
51
10
0
08 Oct 2021
DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks
DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks
C. Connell
Yangkun Wang
14
0
0
12 Mar 2021
On the Equivalence Between Temporal and Static Graph Representations for
  Observational Predictions
On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions
Jianfei Gao
Bruno Ribeiro
29
11
0
12 Mar 2021
Understanding graph embedding methods and their applications
Understanding graph embedding methods and their applications
Mengjia Xu
26
129
0
15 Dec 2020
Reinforcement Learning-based Black-Box Evasion Attacks to Link
  Prediction in Dynamic Graphs
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs
Houxiang Fan
Binghui Wang
Pan Zhou
Ang Li
Meng Pang
Zichuan Xu
Cai Fu
H. Li
Yiran Chen
AAML
MLAU
22
16
0
01 Sep 2020
Structural Temporal Graph Neural Networks for Anomaly Detection in
  Dynamic Graphs
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs
Lei Cai
Zhengzhang Chen
Chen Luo
Jiaping Gui
Jingchao Ni
Ding Li
Haifeng Chen
23
124
0
15 May 2020
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs
Jingxin Liu
Chang Xu
Chang Yin
Weiqiang Wu
You Song
GNN
65
47
0
22 Mar 2020
ExEm: Expert Embedding using dominating set theory with deep learning
  approaches
ExEm: Expert Embedding using dominating set theory with deep learning approaches
Narjes Nikzad Khasmakhi
M. Balafar
M. Feizi-Derakhshi
C. Motamed
24
18
0
16 Jan 2020
Variational Graph Recurrent Neural Networks
Variational Graph Recurrent Neural Networks
Ehsan Hajiramezanali
Arman Hasanzadeh
N. Duffield
Krishna R. Narayanan
Mingyuan Zhou
Xiaoning Qian
BDL
GNN
20
184
0
26 Aug 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
A. Pareja
Giacomo Domeniconi
Jie Chen
Tengfei Ma
Toyotaro Suzumura
H. Kanezashi
Tim Kaler
Tao B. Schardl
Charles E. Leisersen
GNN
52
1,043
0
26 Feb 2019
Dynamic Graph Representation Learning via Self-Attention Networks
Dynamic Graph Representation Learning via Self-Attention Networks
Aravind Sankar
Yanhong Wu
Liang Gou
Wei Zhang
Hao Yang
GNN
24
119
0
22 Dec 2018
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix
  Factorization
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization
Linhong Zhu
Dong Guo
Junming Yin
Greg Ver Steeg
Aram Galstyan
56
199
0
13 Nov 2014
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